Pinned Repositories
aesw-dataset-convertor
convert AESW(Automated Evaluation of Scientific Writing Shared Task) dataset format form xml to [input, target] txt files
alpr-unconstrained
License Plate Detection and Recognition in Unconstrained Scenarios
Basic-Algorithm
bert
TensorFlow code and pre-trained models for BERT
Best-README-Template
An awesome README template to jumpstart your projects!
BLEU_Mandarin
Calculate BLEU score between Chinese sentences.
Car_Plate_Detection_Pytorch
CDAN
Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)
coding-interview-university
A complete computer science study plan to become a software engineer.
plot_demo
论文里可以用到的实验图示例
MichaelCaohn's Repositories
MichaelCaohn/plot_demo
论文里可以用到的实验图示例
MichaelCaohn/alpr-unconstrained
License Plate Detection and Recognition in Unconstrained Scenarios
MichaelCaohn/bert
TensorFlow code and pre-trained models for BERT
MichaelCaohn/Best-README-Template
An awesome README template to jumpstart your projects!
MichaelCaohn/CDAN
Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)
MichaelCaohn/crosentgec
Code for cross-sentence grammatical error correction using multilayer convolutional seq2seq models (ACL 2019)
MichaelCaohn/cs4248-pos-tagger
Viterbi and neural part-of-speech tagger
MichaelCaohn/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
MichaelCaohn/DEV
MichaelCaohn/esc
The official code of the "Frustratingly Easy System Combination for Grammatical Error Correction" paper
MichaelCaohn/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
MichaelCaohn/fairseq_extension
MichaelCaohn/File_transfer
MichaelCaohn/geccl
Grammatical Error Correction with Contrastive Learning in Low Error Density Domains
MichaelCaohn/Generate_To_Adapt
Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"
MichaelCaohn/gsl
GNU Scientific Library with CMake build support
MichaelCaohn/helo_word
Team Kakao&Brain's Grammatical Error Correction System for the ACL 2019 BEA Shared Task
MichaelCaohn/LeetCodeAnimation
Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）
MichaelCaohn/MCD_DA
MichaelCaohn/MichaelCaohn.github.io
AcadHomepage: A Modern and Responsive Academic Personal Homepage
MichaelCaohn/mlm-scoring
Python library & examples for Masked Language Model Scoring (ACL 2020)
MichaelCaohn/mlx_notebook
MichaelCaohn/models
Models and examples built with TensorFlow
MichaelCaohn/nlp-beginner
NLP上手教程
MichaelCaohn/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
MichaelCaohn/PADA
Code release for "Partial Adversarial Domain Adaptation" (ECCV 2018)
MichaelCaohn/papers-we-love
Papers from the computer science community to read and discuss.
MichaelCaohn/PIE
Fast + Non-Autoregressive Grammatical Error Correction using BERT. Code and Pre-trained models for paper "Parallel Iterative Edit Models for Local Sequence Transduction": www.aclweb.org/anthology/D19-1435.pdf (EMNLP-IJCNLP 2019)
MichaelCaohn/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
MichaelCaohn/ugec